{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Define matplotlib defaults\n",
    "plt.rcParams['figure.figsize']        = 8., 6.\n",
    "plt.rcParams['axes.labelsize']        = 18\n",
    "plt.rcParams['axes.titlesize']        = 18\n",
    "plt.rcParams['xtick.top']             = True\n",
    "plt.rcParams['xtick.bottom']          = True\n",
    "plt.rcParams['ytick.left']            = True\n",
    "plt.rcParams['ytick.right']           = True\n",
    "plt.rcParams['xtick.direction']       = 'in'\n",
    "plt.rcParams['ytick.direction']       = 'in'\n",
    "plt.rcParams['xtick.labelsize']       = 14\n",
    "plt.rcParams['ytick.labelsize']       = 14\n",
    "plt.rcParams['xtick.major.pad']       = 6.\n",
    "plt.rcParams['xtick.minor.pad']       = 6.\n",
    "plt.rcParams['ytick.major.pad']       = 6.\n",
    "plt.rcParams['ytick.minor.pad']       = 6.\n",
    "plt.rcParams['xtick.major.size']      = 6. # major tick size in points\n",
    "plt.rcParams['xtick.minor.size']      = 3. # minor tick size in points\n",
    "plt.rcParams['ytick.major.size']      = 6. # major tick size in points\n",
    "plt.rcParams['ytick.minor.size']      = 3. # minor tick size in points\n",
    "plt.rcParams['text.usetex']           = False\n",
    "plt.rcParams['font.family']           = 'serif'\n",
    "plt.rcParams['font.size']             = 18\n",
    "\n",
    "pd.set_option('display.max_columns', None)"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "source": [
    "# CIFAR10"
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "source": [
    "experiment_prefix = 'CIFAR10'\n",
    "# Load results\n",
    "df = pd.read_csv(f'../data/{experiment_prefix.lower()}.csv')\n",
    "models = df.model.unique().tolist()\n",
    "print(df.shape)\n",
    "df.head()"
   ],
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "(328, 10)\n"
     ]
    },
    {
     "output_type": "execute_result",
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>model</th>\n",
       "      <th>num_correct</th>\n",
       "      <th>err_rt</th>\n",
       "      <th>f_err_rt</th>\n",
       "      <th>r_err_rt</th>\n",
       "      <th>r_ans_rt</th>\n",
       "      <th>resp_time</th>\n",
       "      <th>f_resp_time</th>\n",
       "      <th>r_resp_time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>participant_0</td>\n",
       "      <td>ACGAN</td>\n",
       "      <td>171.0</td>\n",
       "      <td>0.145</td>\n",
       "      <td>0.09</td>\n",
       "      <td>0.20</td>\n",
       "      <td>0.445</td>\n",
       "      <td>158.68</td>\n",
       "      <td>81.60</td>\n",
       "      <td>77.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>participant_1</td>\n",
       "      <td>ACGAN</td>\n",
       "      <td>182.0</td>\n",
       "      <td>0.090</td>\n",
       "      <td>0.06</td>\n",
       "      <td>0.12</td>\n",
       "      <td>0.470</td>\n",
       "      <td>260.57</td>\n",
       "      <td>135.27</td>\n",
       "      <td>125.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>participant_2</td>\n",
       "      <td>ACGAN</td>\n",
       "      <td>151.0</td>\n",
       "      <td>0.245</td>\n",
       "      <td>0.17</td>\n",
       "      <td>0.32</td>\n",
       "      <td>0.425</td>\n",
       "      <td>200.78</td>\n",
       "      <td>95.15</td>\n",
       "      <td>105.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>participant_3</td>\n",
       "      <td>ACGAN</td>\n",
       "      <td>173.0</td>\n",
       "      <td>0.135</td>\n",
       "      <td>0.19</td>\n",
       "      <td>0.08</td>\n",
       "      <td>0.555</td>\n",
       "      <td>148.79</td>\n",
       "      <td>84.48</td>\n",
       "      <td>64.31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>participant_4</td>\n",
       "      <td>ACGAN</td>\n",
       "      <td>191.0</td>\n",
       "      <td>0.045</td>\n",
       "      <td>0.05</td>\n",
       "      <td>0.04</td>\n",
       "      <td>0.505</td>\n",
       "      <td>180.31</td>\n",
       "      <td>89.37</td>\n",
       "      <td>90.94</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              id  model  num_correct  err_rt  f_err_rt  r_err_rt  r_ans_rt  \\\n",
       "0  participant_0  ACGAN        171.0   0.145      0.09      0.20     0.445   \n",
       "1  participant_1  ACGAN        182.0   0.090      0.06      0.12     0.470   \n",
       "2  participant_2  ACGAN        151.0   0.245      0.17      0.32     0.425   \n",
       "3  participant_3  ACGAN        173.0   0.135      0.19      0.08     0.555   \n",
       "4  participant_4  ACGAN        191.0   0.045      0.05      0.04     0.505   \n",
       "\n",
       "   resp_time  f_resp_time  r_resp_time  \n",
       "0     158.68        81.60        77.08  \n",
       "1     260.57       135.27       125.30  \n",
       "2     200.78        95.15       105.63  \n",
       "3     148.79        84.48        64.31  \n",
       "4     180.31        89.37        90.94  "
      ]
     },
     "metadata": {},
     "execution_count": 2
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "source": [
    "columns = df.columns.tolist()[3:]\n",
    "df_results = pd.DataFrame(columns=columns)\n",
    "df_results_sem = pd.DataFrame(columns=columns)\n",
    "for j, model in enumerate(models):\n",
    "    model_res = df.loc[df['model'] == model]\n",
    "    df_results.loc[model] = model_res.mean(numeric_only=True)\n",
    "    df_results_sem.loc[model] = model_res.sem(numeric_only=True) # standard error of the mean\n",
    "\n",
    "df_results"
   ],
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>err_rt</th>\n",
       "      <th>f_err_rt</th>\n",
       "      <th>r_err_rt</th>\n",
       "      <th>r_ans_rt</th>\n",
       "      <th>resp_time</th>\n",
       "      <th>f_resp_time</th>\n",
       "      <th>r_resp_time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ACGAN</th>\n",
       "      <td>0.148200</td>\n",
       "      <td>0.115600</td>\n",
       "      <td>0.180800</td>\n",
       "      <td>0.467400</td>\n",
       "      <td>213.661200</td>\n",
       "      <td>100.458400</td>\n",
       "      <td>113.200800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BigGAN</th>\n",
       "      <td>0.386800</td>\n",
       "      <td>0.392800</td>\n",
       "      <td>0.380800</td>\n",
       "      <td>0.506000</td>\n",
       "      <td>283.532800</td>\n",
       "      <td>144.042000</td>\n",
       "      <td>139.490000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>iDDPM-DDIM</th>\n",
       "      <td>0.399615</td>\n",
       "      <td>0.409615</td>\n",
       "      <td>0.389615</td>\n",
       "      <td>0.510000</td>\n",
       "      <td>267.805385</td>\n",
       "      <td>127.438077</td>\n",
       "      <td>140.368846</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LOGAN</th>\n",
       "      <td>0.205600</td>\n",
       "      <td>0.207600</td>\n",
       "      <td>0.203600</td>\n",
       "      <td>0.502000</td>\n",
       "      <td>220.127200</td>\n",
       "      <td>114.258400</td>\n",
       "      <td>105.867200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LSGM-ODE</th>\n",
       "      <td>0.436852</td>\n",
       "      <td>0.456296</td>\n",
       "      <td>0.417407</td>\n",
       "      <td>0.519444</td>\n",
       "      <td>231.699259</td>\n",
       "      <td>117.097407</td>\n",
       "      <td>114.600741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MHGAN</th>\n",
       "      <td>0.336200</td>\n",
       "      <td>0.341200</td>\n",
       "      <td>0.331200</td>\n",
       "      <td>0.505000</td>\n",
       "      <td>267.292000</td>\n",
       "      <td>130.669200</td>\n",
       "      <td>136.621200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NVAE</th>\n",
       "      <td>0.130800</td>\n",
       "      <td>0.133600</td>\n",
       "      <td>0.128000</td>\n",
       "      <td>0.502800</td>\n",
       "      <td>240.262000</td>\n",
       "      <td>141.293600</td>\n",
       "      <td>98.967200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PFGMPP</th>\n",
       "      <td>0.435800</td>\n",
       "      <td>0.449600</td>\n",
       "      <td>0.422000</td>\n",
       "      <td>0.513800</td>\n",
       "      <td>243.312800</td>\n",
       "      <td>119.171600</td>\n",
       "      <td>124.141200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ReACGAN</th>\n",
       "      <td>0.335600</td>\n",
       "      <td>0.345200</td>\n",
       "      <td>0.326000</td>\n",
       "      <td>0.509600</td>\n",
       "      <td>246.828400</td>\n",
       "      <td>121.692000</td>\n",
       "      <td>125.134000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RESFLOW</th>\n",
       "      <td>0.088000</td>\n",
       "      <td>0.086000</td>\n",
       "      <td>0.090000</td>\n",
       "      <td>0.498000</td>\n",
       "      <td>199.384000</td>\n",
       "      <td>111.876400</td>\n",
       "      <td>87.506800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>StyleGAN2-ada</th>\n",
       "      <td>0.393000</td>\n",
       "      <td>0.399200</td>\n",
       "      <td>0.386800</td>\n",
       "      <td>0.506200</td>\n",
       "      <td>327.731200</td>\n",
       "      <td>169.667600</td>\n",
       "      <td>158.063600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>StyleGAN-XL</th>\n",
       "      <td>0.398800</td>\n",
       "      <td>0.420000</td>\n",
       "      <td>0.377600</td>\n",
       "      <td>0.521200</td>\n",
       "      <td>251.138400</td>\n",
       "      <td>125.374800</td>\n",
       "      <td>125.763600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WGAN-GP</th>\n",
       "      <td>0.169600</td>\n",
       "      <td>0.180800</td>\n",
       "      <td>0.158400</td>\n",
       "      <td>0.511200</td>\n",
       "      <td>220.635200</td>\n",
       "      <td>127.217200</td>\n",
       "      <td>93.416000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 err_rt  f_err_rt  r_err_rt  r_ans_rt   resp_time  \\\n",
       "ACGAN          0.148200  0.115600  0.180800  0.467400  213.661200   \n",
       "BigGAN         0.386800  0.392800  0.380800  0.506000  283.532800   \n",
       "iDDPM-DDIM     0.399615  0.409615  0.389615  0.510000  267.805385   \n",
       "LOGAN          0.205600  0.207600  0.203600  0.502000  220.127200   \n",
       "LSGM-ODE       0.436852  0.456296  0.417407  0.519444  231.699259   \n",
       "MHGAN          0.336200  0.341200  0.331200  0.505000  267.292000   \n",
       "NVAE           0.130800  0.133600  0.128000  0.502800  240.262000   \n",
       "PFGMPP         0.435800  0.449600  0.422000  0.513800  243.312800   \n",
       "ReACGAN        0.335600  0.345200  0.326000  0.509600  246.828400   \n",
       "RESFLOW        0.088000  0.086000  0.090000  0.498000  199.384000   \n",
       "StyleGAN2-ada  0.393000  0.399200  0.386800  0.506200  327.731200   \n",
       "StyleGAN-XL    0.398800  0.420000  0.377600  0.521200  251.138400   \n",
       "WGAN-GP        0.169600  0.180800  0.158400  0.511200  220.635200   \n",
       "\n",
       "               f_resp_time  r_resp_time  \n",
       "ACGAN           100.458400   113.200800  \n",
       "BigGAN          144.042000   139.490000  \n",
       "iDDPM-DDIM      127.438077   140.368846  \n",
       "LOGAN           114.258400   105.867200  \n",
       "LSGM-ODE        117.097407   114.600741  \n",
       "MHGAN           130.669200   136.621200  \n",
       "NVAE            141.293600    98.967200  \n",
       "PFGMPP          119.171600   124.141200  \n",
       "ReACGAN         121.692000   125.134000  \n",
       "RESFLOW         111.876400    87.506800  \n",
       "StyleGAN2-ada   169.667600   158.063600  \n",
       "StyleGAN-XL     125.374800   125.763600  \n",
       "WGAN-GP         127.217200    93.416000  "
      ]
     },
     "metadata": {},
     "execution_count": 3
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "source": [
    "df_results_sem"
   ],
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>err_rt</th>\n",
       "      <th>f_err_rt</th>\n",
       "      <th>r_err_rt</th>\n",
       "      <th>r_ans_rt</th>\n",
       "      <th>resp_time</th>\n",
       "      <th>f_resp_time</th>\n",
       "      <th>r_resp_time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ACGAN</th>\n",
       "      <td>0.012659</td>\n",
       "      <td>0.016156</td>\n",
       "      <td>0.020728</td>\n",
       "      <td>0.013605</td>\n",
       "      <td>17.469423</td>\n",
       "      <td>5.926306</td>\n",
       "      <td>13.564292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BigGAN</th>\n",
       "      <td>0.014026</td>\n",
       "      <td>0.021529</td>\n",
       "      <td>0.021039</td>\n",
       "      <td>0.016010</td>\n",
       "      <td>20.547506</td>\n",
       "      <td>9.516216</td>\n",
       "      <td>11.660313</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>iDDPM-DDIM</th>\n",
       "      <td>0.013344</td>\n",
       "      <td>0.022330</td>\n",
       "      <td>0.018584</td>\n",
       "      <td>0.015618</td>\n",
       "      <td>27.224202</td>\n",
       "      <td>12.253347</td>\n",
       "      <td>18.829690</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LOGAN</th>\n",
       "      <td>0.019999</td>\n",
       "      <td>0.026251</td>\n",
       "      <td>0.021102</td>\n",
       "      <td>0.012933</td>\n",
       "      <td>14.700128</td>\n",
       "      <td>8.371466</td>\n",
       "      <td>6.756164</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LSGM-ODE</th>\n",
       "      <td>0.009958</td>\n",
       "      <td>0.017728</td>\n",
       "      <td>0.021120</td>\n",
       "      <td>0.016763</td>\n",
       "      <td>16.712291</td>\n",
       "      <td>8.495524</td>\n",
       "      <td>8.774899</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MHGAN</th>\n",
       "      <td>0.014998</td>\n",
       "      <td>0.020658</td>\n",
       "      <td>0.015962</td>\n",
       "      <td>0.010763</td>\n",
       "      <td>19.884665</td>\n",
       "      <td>9.104826</td>\n",
       "      <td>11.417831</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NVAE</th>\n",
       "      <td>0.017644</td>\n",
       "      <td>0.024758</td>\n",
       "      <td>0.014652</td>\n",
       "      <td>0.010125</td>\n",
       "      <td>18.855748</td>\n",
       "      <td>16.957880</td>\n",
       "      <td>5.877459</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PFGMPP</th>\n",
       "      <td>0.011014</td>\n",
       "      <td>0.025017</td>\n",
       "      <td>0.024256</td>\n",
       "      <td>0.022040</td>\n",
       "      <td>27.271176</td>\n",
       "      <td>11.673016</td>\n",
       "      <td>16.619929</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ReACGAN</th>\n",
       "      <td>0.016061</td>\n",
       "      <td>0.026370</td>\n",
       "      <td>0.017185</td>\n",
       "      <td>0.015408</td>\n",
       "      <td>21.800662</td>\n",
       "      <td>10.934327</td>\n",
       "      <td>11.160029</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RESFLOW</th>\n",
       "      <td>0.008441</td>\n",
       "      <td>0.011269</td>\n",
       "      <td>0.010456</td>\n",
       "      <td>0.006850</td>\n",
       "      <td>17.268649</td>\n",
       "      <td>13.828277</td>\n",
       "      <td>5.838051</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>StyleGAN2-ada</th>\n",
       "      <td>0.012386</td>\n",
       "      <td>0.022188</td>\n",
       "      <td>0.020006</td>\n",
       "      <td>0.017113</td>\n",
       "      <td>50.776022</td>\n",
       "      <td>30.466614</td>\n",
       "      <td>20.633290</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>StyleGAN-XL</th>\n",
       "      <td>0.011616</td>\n",
       "      <td>0.022413</td>\n",
       "      <td>0.017975</td>\n",
       "      <td>0.016667</td>\n",
       "      <td>27.061076</td>\n",
       "      <td>12.737789</td>\n",
       "      <td>14.409477</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WGAN-GP</th>\n",
       "      <td>0.012646</td>\n",
       "      <td>0.022427</td>\n",
       "      <td>0.013300</td>\n",
       "      <td>0.013417</td>\n",
       "      <td>29.260031</td>\n",
       "      <td>27.146070</td>\n",
       "      <td>4.170860</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 err_rt  f_err_rt  r_err_rt  r_ans_rt  resp_time  f_resp_time  \\\n",
       "ACGAN          0.012659  0.016156  0.020728  0.013605  17.469423     5.926306   \n",
       "BigGAN         0.014026  0.021529  0.021039  0.016010  20.547506     9.516216   \n",
       "iDDPM-DDIM     0.013344  0.022330  0.018584  0.015618  27.224202    12.253347   \n",
       "LOGAN          0.019999  0.026251  0.021102  0.012933  14.700128     8.371466   \n",
       "LSGM-ODE       0.009958  0.017728  0.021120  0.016763  16.712291     8.495524   \n",
       "MHGAN          0.014998  0.020658  0.015962  0.010763  19.884665     9.104826   \n",
       "NVAE           0.017644  0.024758  0.014652  0.010125  18.855748    16.957880   \n",
       "PFGMPP         0.011014  0.025017  0.024256  0.022040  27.271176    11.673016   \n",
       "ReACGAN        0.016061  0.026370  0.017185  0.015408  21.800662    10.934327   \n",
       "RESFLOW        0.008441  0.011269  0.010456  0.006850  17.268649    13.828277   \n",
       "StyleGAN2-ada  0.012386  0.022188  0.020006  0.017113  50.776022    30.466614   \n",
       "StyleGAN-XL    0.011616  0.022413  0.017975  0.016667  27.061076    12.737789   \n",
       "WGAN-GP        0.012646  0.022427  0.013300  0.013417  29.260031    27.146070   \n",
       "\n",
       "               r_resp_time  \n",
       "ACGAN            13.564292  \n",
       "BigGAN           11.660313  \n",
       "iDDPM-DDIM       18.829690  \n",
       "LOGAN             6.756164  \n",
       "LSGM-ODE          8.774899  \n",
       "MHGAN            11.417831  \n",
       "NVAE              5.877459  \n",
       "PFGMPP           16.619929  \n",
       "ReACGAN          11.160029  \n",
       "RESFLOW           5.838051  \n",
       "StyleGAN2-ada    20.633290  \n",
       "StyleGAN-XL      14.409477  \n",
       "WGAN-GP           4.170860  "
      ]
     },
     "metadata": {},
     "execution_count": 4
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "source": [
    "plt.errorbar(df_results.index, df_results.err_rt, yerr=df_results_sem.err_rt, fmt='o', capsize=5)\n",
    "plt.ylabel(\"Error Rate\")\n",
    "plt.xticks(rotation=90)\n",
    "plt.title(experiment_prefix.upper())\n",
    "plt.tight_layout()\n",
    "plt.savefig(f'../plots/{experiment_prefix}_err_rt.png', bbox_inches=None, pad_inches=0.0)\n",
    "\n",
    "plt.show()"
   ],
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {}
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "source": [
    "plt.errorbar(df_results.index, df_results.f_err_rt, yerr=df_results_sem.f_err_rt, fmt='o', capsize=5)\n",
    "plt.ylabel(\"Error Rate on Fake Images\")\n",
    "plt.xticks(rotation=90)\n",
    "plt.title(experiment_prefix)\n",
    "plt.tight_layout()\n",
    "plt.savefig(f'../plots/{experiment_prefix}_f_err_rt.png', bbox_inches=None, pad_inches=0.0)\n",
    "\n",
    "plt.show()"
   ],
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {}
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "source": [
    "plt.errorbar(df_results.index, df_results.r_err_rt, yerr=df_results_sem.r_err_rt, fmt='o', capsize=5)\n",
    "plt.ylabel(\"Error Rate on Real Images\")\n",
    "plt.xticks(rotation=90)\n",
    "plt.title(experiment_prefix)\n",
    "plt.tight_layout()\n",
    "plt.savefig(f'../plots/{experiment_prefix}_r_err_rt.png', bbox_inches=None, pad_inches=0.0)\n",
    "\n",
    "plt.show()"
   ],
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {}
    }
   ],
   "metadata": {}
  }
 ],
 "metadata": {
  "kernelspec": {
   "name": "python3",
   "display_name": "Python 3.10.9 64-bit ('fd-ssl': conda)"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.9"
  },
  "interpreter": {
   "hash": "0b1e6c53afa0da9f8cf13ec959cb92ccd28c62ee93b35961fe33938d6192a4ab"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}